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Somatic T–cell Receptor Diversity in a Chronic Kidney Disease PatientPopulation Linked to Electronic Health Records
Germline and somatic genomic variation represent the bulk of ‘omics data available for precision medicine research. These data, however, may fail to capture the dynamic biological processes that underlie disease development, particularly for chronic diseases of aging such as chronic kidney disease (...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Informatics Association
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961818/ https://www.ncbi.nlm.nih.gov/pubmed/29888042 |
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author | Crawford, Dana C. Bailey, Jessica N Cooke Miskimen, Kristy Miron, Penelope McCauley, Jacob L. Sedor, John R. ƠToole, John F. Bush, William S. |
author_facet | Crawford, Dana C. Bailey, Jessica N Cooke Miskimen, Kristy Miron, Penelope McCauley, Jacob L. Sedor, John R. ƠToole, John F. Bush, William S. |
author_sort | Crawford, Dana C. |
collection | PubMed |
description | Germline and somatic genomic variation represent the bulk of ‘omics data available for precision medicine research. These data, however, may fail to capture the dynamic biological processes that underlie disease development, particularly for chronic diseases of aging such as chronic kidney disease (CKD). To demonstrate the value of additional dynamic precision medicine data, we sequenced somatic T-cell receptor rearrangements, markers of the adaptive immune response, from genomic DNA collected during a clinical encounter from 15 participants with CKD and associated co-morbidities. Participants were consented as part of a larger precision medicine research project at the MetroHealth System, a large urban public hospital in Cleveland, Ohio. Despite the limited sample size, we observed reduced T-cell receptor diversity in relation to biomarkers (creatinine and BUN) of CKD status in this older and mostly African American sample. Overall, these data suggest a relationship between advanced CKD and premature aging of the adaptive immune system and highlight the potential of dynamic ‘omic data to generate novel hypotheses about disease mechanisms and unique opportunities for precision medicine applications. |
format | Online Article Text |
id | pubmed-5961818 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Medical Informatics Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-59618182018-06-08 Somatic T–cell Receptor Diversity in a Chronic Kidney Disease PatientPopulation Linked to Electronic Health Records Crawford, Dana C. Bailey, Jessica N Cooke Miskimen, Kristy Miron, Penelope McCauley, Jacob L. Sedor, John R. ƠToole, John F. Bush, William S. AMIA Jt Summits Transl Sci Proc Articles Germline and somatic genomic variation represent the bulk of ‘omics data available for precision medicine research. These data, however, may fail to capture the dynamic biological processes that underlie disease development, particularly for chronic diseases of aging such as chronic kidney disease (CKD). To demonstrate the value of additional dynamic precision medicine data, we sequenced somatic T-cell receptor rearrangements, markers of the adaptive immune response, from genomic DNA collected during a clinical encounter from 15 participants with CKD and associated co-morbidities. Participants were consented as part of a larger precision medicine research project at the MetroHealth System, a large urban public hospital in Cleveland, Ohio. Despite the limited sample size, we observed reduced T-cell receptor diversity in relation to biomarkers (creatinine and BUN) of CKD status in this older and mostly African American sample. Overall, these data suggest a relationship between advanced CKD and premature aging of the adaptive immune system and highlight the potential of dynamic ‘omic data to generate novel hypotheses about disease mechanisms and unique opportunities for precision medicine applications. American Medical Informatics Association 2018-05-18 /pmc/articles/PMC5961818/ /pubmed/29888042 Text en ©2018 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose |
spellingShingle | Articles Crawford, Dana C. Bailey, Jessica N Cooke Miskimen, Kristy Miron, Penelope McCauley, Jacob L. Sedor, John R. ƠToole, John F. Bush, William S. Somatic T–cell Receptor Diversity in a Chronic Kidney Disease PatientPopulation Linked to Electronic Health Records |
title | Somatic T–cell Receptor Diversity in a Chronic Kidney Disease PatientPopulation Linked to Electronic Health Records |
title_full | Somatic T–cell Receptor Diversity in a Chronic Kidney Disease PatientPopulation Linked to Electronic Health Records |
title_fullStr | Somatic T–cell Receptor Diversity in a Chronic Kidney Disease PatientPopulation Linked to Electronic Health Records |
title_full_unstemmed | Somatic T–cell Receptor Diversity in a Chronic Kidney Disease PatientPopulation Linked to Electronic Health Records |
title_short | Somatic T–cell Receptor Diversity in a Chronic Kidney Disease PatientPopulation Linked to Electronic Health Records |
title_sort | somatic t–cell receptor diversity in a chronic kidney disease patientpopulation linked to electronic health records |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961818/ https://www.ncbi.nlm.nih.gov/pubmed/29888042 |
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